andrewoh/RoBERTa-finetuned-movie-reviews-sentiment-analysis

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RoBERTa-finetuned-movie-reviews-sentiment-analysis

This model is a fine-tuned version of andrewoh/RoBERTa-finetuned-movie-reviews-accelerate on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2558
• —Accuracy: 0.9502
• —F1: 0.9502
• —Precision: 0.9502
• —Recall: 0.9502

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1.4194319527311645e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 389
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.52.4
• —Pytorch 2.6.0+cu124
• —Datasets 2.14.4
• —Tokenizers 0.21.1